What is awesome-satellite-imagery-datasets?

54/100
Trust Score (D)
⚠️ Use Caution

awesome-satellite-imagery-datasets is a AI tool that 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning. It has a Nerq Trust Score of 54/100 (D). 3.9K GitHub stars. Published by Unknown. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

54
TRUST SCORE
D
GRADE
3.9K
STARS
0
DOWNLOADS

What awesome-satellite-imagery-datasets Does

awesome-satellite-imagery-datasets is a tool in the AI tool category. 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning. It is published by an independent developer and has no specified license. With 3.9K GitHub stars and 0 downloads, it has a growing community of users and contributors.

Who Should Use awesome-satellite-imagery-datasets

awesome-satellite-imagery-datasets is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorUnknown
CategoryAI tool
LicenseNot specified
Typetool
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=chrieke-awesome-satellite-imagery-datasets

Setup guide · Full safety report · Production review · Is it safe?

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Frequently Asked Questions

What is awesome-satellite-imagery-datasets used for?
awesome-satellite-imagery-datasets is a AI tool tool. 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning.
Is awesome-satellite-imagery-datasets free?
License: Check project page. awesome-satellite-imagery-datasets has 3.9K GitHub stars.
Is awesome-satellite-imagery-datasets safe?
awesome-satellite-imagery-datasets has a Nerq Trust Score of 54/100 (D). Use with caution.
What are alternatives to awesome-satellite-imagery-datasets?
Top alternatives: openclaw, stable-diffusion-webui, prompts.chat. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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